Smart Building & IoT Analytics

The Challenge

Commercial property owners face rising energy costs, aging infrastructure, and increasing tenant expectations for comfortable, sustainable, and tech-enabled spaces.

Root Cause Analysis

• Energy waste: HVAC, lighting, and elevator systems operate on fixed schedules rather than actual occupancy
• Reactive maintenance: Equipment failures cause costly emergency repairs and tenant disruption
• Siloed building systems: BMS, access control, fire safety, and parking systems don't share data
• ESG pressure: Investors and tenants demand transparent sustainability reporting with verifiable metrics

How We Solve This with Cloud Technologies

IoT-to-Insight Building Platform

We deploy cloud-connected IoT platforms that unify all building systems into a single intelligent layer:

• Real-time occupancy sensing: Computer vision and sensor fusion to understand actual space utilization
• Energy optimization: AI-driven HVAC and lighting control that reduces consumption by 20-35%
• Predictive maintenance: ML models detect equipment degradation before failure
• ESG dashboards: Automated carbon tracking, ENERGY STAR scoring, and GRESB reporting

Reference Architecture

1. Edge layer: IoT gateways at each property for local processing and BACnet/Modbus integration
2. Ingestion: Azure IoT Hub / AWS IoT Core for real-time telemetry streaming
3. Data platform: Snowflake or Databricks for cross-property analytics
4. ML models: TensorFlow models for energy prediction and anomaly detection
5. Digital twins: 3D building models for visualization and simulation

Business Impact

• 25-35% reduction in energy costs through AI-optimized building operations
• 40% decrease in unplanned maintenance events via predictive analytics
• LEED/WELL certification support with automated environmental monitoring